Evidence map›Paper›PMID 27807153›Full record

ArticleJournal of clinical microbiology2017

Detection of Isoniazid-, Fluoroquinolone-, Amikacin-, and Kanamycin-Resistant Tuberculosis in an Automated, Multiplexed 10-Color Assay Suitable for Point-of-Care Use.

Soumitesh Chakravorty, Sandy S Roh, Jennifer Glass, Laura E Smith, Ann Marie Simmons, Kevin Lund, Sergey Lokhov, Xin Liu, Peng Xu, Guolong Zhang and 16 more

Abstract readEvaluation Study
In one paragraph

Article in Journal of clinical microbiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

25 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
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  8. Diagnostic accuracy of the XpertBMC infectious diseases · 2024
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  9. Laboratory tools for the direct detection of bacterial respiratory infections and antimicrobial resistance: a scoping review.Journal of veterinary diagnostic investigation : official publication of the American Association of Veterinary Laboratory Diagnosticians, Inc · 2024
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  17. Combination of Xpert MTB/RIF and MTBDRplus for Diagnosing Tuberculosis in a Chinese District.Medical science monitor : international medical journal of experimental and clinical research · 2020
    Article
  18. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

26 authors.

Soumitesh ChakravortyDepartment of Medicine, New Jersey Medical School, Newark, New Jersey, USA chakraso@njms.rutgers.edu.
Sandy S RohDepartment of Medicine, New Jersey Medical School, Newark, New Jersey, USA.
Jennifer GlassCepheid Inc., Sunnyvale, California, USA.
Laura E SmithDepartment of Medicine, New Jersey Medical School, Newark, New Jersey, USA.
Ann Marie SimmonsCepheid Inc., Sunnyvale, California, USA.
Kevin LundCepheid Inc., Bothell, Washington, USA.
Sergey LokhovCepheid Inc., Bothell, Washington, USA.
Xin LiuHenan Provincial Chest Hospital, Zhengzhou, Henan Province, China.
Peng XuKey Laboratory of Medical Molecular Virology of Ministries of Education and Health, Institutes of Biomedical Sciences and Institute of Medical Microbiology, School of Basic Medical Sciences, Fudan University, Shanghai, China.
Guolong ZhangSino-US International Research Center of Tuberculosis, Zhengzhou, China.
Laura E ViaTuberculosis Research Section, Laboratory of Clinical Infectious Diseases, NIAID, NIH, Bethesda, Maryland, USA.
Qingyu ShenSino-US International Research Center of Tuberculosis, Zhengzhou, China.
Xianglin RuanHenan Provincial Chest Hospital, Zhengzhou, Henan Province, China.
Xing YuanHenan Provincial Chest Hospital, Zhengzhou, Henan Province, China.
Hong Zhu ZhuSino-US International Research Center of Tuberculosis, Zhengzhou, China.
Ekaterina ViazovkinaCepheid Inc., Bothell, Washington, USA.
Shubhada ShenaiDepartment of Medicine, New Jersey Medical School, Newark, New Jersey, USA.
Mazhgan RownekiDepartment of Medicine, New Jersey Medical School, Newark, New Jersey, USA.
Jong Seok LeeDepartment of Microbiology, International Tuberculosis Research Center, Changwon, Gyeongsnag, Republic of Korea.
Clifton E BarryTuberculosis Research Section, Laboratory of Clinical Infectious Diseases, NIAID, NIH, Bethesda, Maryland, USA.
Qian GaoKey Laboratory of Medical Molecular Virology of Ministries of Education and Health, Institutes of Biomedical Sciences and Institute of Medical Microbiology, School of Basic Medical Sciences, Fudan University, Shanghai, China.
David PersingCepheid Inc., Sunnyvale, California, USA.
Robert KwiatkawoskiCepheid Inc., Sunnyvale, California, USA.
Martin JonesCepheid Inc., Sunnyvale, California, USA.
Alexander GallCepheid Inc., Bothell, Washington, USA.
David AllandDepartment of Medicine, New Jersey Medical School, Newark, New Jersey, USA.

Funding

International Tuberculosis Research in ChinaZIAAI001081 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI BARRY, CLIFTON · 2010 to 2025
$12.2M
Development of a second generation MDR-XDR TB assayU01AI082174 · NIAID · UNIV OF MED/DENT OF NJ-NJ MEDICAL SCHOOL · PI ALLAND, DAVID · 2009 to 2013
$7.2M
Pre-clinical Development of an Advanced Genexpert Test for Drug Resistant MtbR01AI111397 · NIAID · RBHS-NEW JERSEY MEDICAL SCHOOL · PI ALLAND, DAVID · 2014 to 2018
$6.2M
Rapid Diagnosis of XDR TuberculosisR01AI080653 · NIAID · UNIV OF MED/DENT OF NJ-NJ MEDICAL SCHOOL · PI ALLAND, DAVID · 2009 to 2013
$2.8M
NIAID NIH HHS R01 AI080653NIAID NIH HHS R01 AI111397NIAID NIH HHS U01 AI082174
6 · The paper itself

Abstract

Extensively drug-resistant (XDR) tuberculosis (TB) cannot be easily or quickly diagnosed. We developed a rapid, automated assay for the detection of XDR-TB plus resistance to the drug isoniazid (INH) for point-of-care use. Using a simple filter-based cartridge with an integrated sample processing function, the assay identified a wide selection of wild-type and mutant sequences associated with XDR-TB directly from sputum. Four new large-Stokes-shift fluorophores were developed. When these four Stokes-shift fluorophores were combined with six conventional fluorophores, 10-color probe detection in a single PCR tube was enabled. A new three-phase, double-nested PCR approach allowed robust melting temperature analysis with enhanced limits of detection (LODs). Finally, newly designed sloppy molecular beacons identified many different mutations using a small number of probes. The assay correctly distinguished wild-type sequences from 32 commonly occurring mutant sequences tested in gyrA, gyrB, katG, and rrs genes and the promoters of inhA and eis genes responsible for resistance to INH, the fluoroquinolone (FQ) drugs, amikacin (AMK), and kanamycin (KAN). The LOD was 300 CFU of Mycobacterium tuberculosis in 1 ml sputum. The rate of detection of heteroresistance by the assay was equivalent to that by Sanger sequencing. In a blind study of 24 clinical sputum samples, resistance mutations were detected in all targets with 100% sensitivity, with the specificity being 93.7 to 100%. Compared to the results of phenotypic susceptibility testing, the sensitivity of the assay was 75% for FQs and 100% each for INH, AMK, and KAN and the specificity was 100% for INH and FQ and 94% for AMK and KAN. Our approach could enable testing for XDR-TB in point-of-care settings, potentially identifying highly drug-resistant TB more quickly and simply than currently available methods.

Indexed as

Point-of-Care SystemsAllelesAmikacinAntitubercular AgentsAutomation, LaboratoryDNA, BacterialExtensively Drug-Resistant TuberculosisFluoroquinolonesGenes, BacterialHumansIsoniazidKanamycinMolecular Diagnostic TechniquesMycobacterium tuberculosisPolymerase Chain ReactionSensitivity and SpecificityAmikacinAntitubercular AgentsDNA, BacterialFluoroquinolonesIsoniazidKanamycin10-color assaypoint-of-care testthree-phase PCRXDR-TB

Identifiers

PMID27807153
PMCPMC5228229

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.